{"id":"https://openalex.org/W4307436728","doi":"https://doi.org/10.3390/s22218250","title":"Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification","display_name":"Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4307436728","doi":"https://doi.org/10.3390/s22218250","pmid":"https://pubmed.ncbi.nlm.nih.gov/36365948","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9654218"},"language":"en","primary_location":{"id":"doi:10.3390/s22218250","doi":"https://doi.org/10.3390/s22218250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218250","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8250/pdf?version=1667469837","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/21/8250/pdf?version=1667469837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053968806","display_name":"Taweesak Emsawas","orcid":"https://orcid.org/0000-0003-0115-9251","observed_orcids":["https://orcid.org/0000-0003-0115-9251"]},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taweesak Emsawas","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0115-9251","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041729199","display_name":"Takashi Morita","orcid":"https://orcid.org/0000-0002-3900-5410","observed_orcids":["https://orcid.org/0000-0002-3900-5410"]},"institutions":[{"id":"https://openalex.org/I4405287424","display_name":"The Institute of Scientific and Industrial Research, The University of Osaka","ror":"https://ror.org/053t3hh85","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Morita","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan","institution_ids":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031412686","display_name":"Tsukasa Kimura","orcid":"https://orcid.org/0000-0002-9618-1701","observed_orcids":["https://orcid.org/0000-0002-9618-1701"]},"institutions":[{"id":"https://openalex.org/I4405287424","display_name":"The Institute of Scientific and Industrial Research, The University of Osaka","ror":"https://ror.org/053t3hh85","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Kimura","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan","institution_ids":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653507","display_name":"Ken\u2013ichi Fukui","orcid":"https://orcid.org/0000-0002-2451-1919","observed_orcids":["https://orcid.org/0000-0002-2451-1919"]},"institutions":[{"id":"https://openalex.org/I4405287424","display_name":"The Institute of Scientific and Industrial Research, The University of Osaka","ror":"https://ror.org/053t3hh85","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken-ichi Fukui","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2451-1919","affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan","institution_ids":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002214819","display_name":"Masayuki Numao","orcid":"https://orcid.org/0000-0002-4890-1970","observed_orcids":["https://orcid.org/0000-0002-4890-1970"]},"institutions":[{"id":"https://openalex.org/I4405287424","display_name":"The Institute of Scientific and Industrial Research, The University of Osaka","ror":"https://ror.org/053t3hh85","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Numao","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University, Osaka 567-0047, Japan","institution_ids":["https://openalex.org/I4405287424","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053968806"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2513},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2513},"fwci":0.8631,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.71874832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"22","issue":"21","first_page":"8250","last_page":"8250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.030700000002980232,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eeg-based-emotion-recognition","display_name":"EEG-based emotion recognition","score":0.9570000171661377},{"id":"https://openalex.org/keywords/multi-kernel-convolution","display_name":"multi-kernel convolution","score":0.8659999966621399},{"id":"https://openalex.org/keywords/separable-convolution","display_name":"separable convolution","score":0.9449999928474426},{"id":"https://openalex.org/keywords/gating-mechanism","display_name":"gating mechanism","score":0.9010000228881836},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.6899999976158142},{"id":"https://openalex.org/keywords/deap-dataset","display_name":"DEAP dataset","score":0.7289999723434448},{"id":"https://openalex.org/keywords/seed-dataset","display_name":"SEED dataset","score":0.9990000128746033},{"id":"https://openalex.org/keywords/subject-independent-classification","display_name":"subject-independent classification","score":0.6660000085830688},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.7639999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784496545791626},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7598411440849304},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.728277325630188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857526302337646},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.674370527267456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6291653513908386},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5913829207420349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44035738706588745},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42734819650650024},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4121955335140228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.375732421875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33459562063217163},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3229493498802185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08535507321357727},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010166","descriptor_name":"Palliative Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.3390/s22218250","doi":"https://doi.org/10.3390/s22218250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218250","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8250/pdf?version=1667469837","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36365948","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36365948","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9654218","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9654218/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2c95f71c147b4482af56f26783200594","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2c95f71c147b4482af56f26783200594","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 21, p 8250 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s22218250","doi":"https://doi.org/10.3390/s22218250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218250","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8250/pdf?version=1667469837","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2964816030","display_name":"\u4e73\u5e7c\u5150\u304b\u3089\u306e\u5065\u3084\u304b\u306a\u8133\u306e\u80b2\u6210\u306b\u3088\u308b\u7a4d\u6975\u7684\u81ea\u7acb\u793e\u4f1a\u5275\u751f\u62e0\u70b9","funder_award_id":"JPMJCE1310","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G5659767234","display_name":null,"funder_award_id":"JPMJCE1310","funder_id":"https://openalex.org/F4320338121","funder_display_name":"Center of Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320322716","display_name":"Japan International Cooperation Agency","ror":"https://ror.org/022es3t03"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338121","display_name":"Center of Innovation Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307436728.pdf","grobid_xml":"https://content.openalex.org/works/W4307436728.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1965832795","https://openalex.org/W1969878365","https://openalex.org/W2002055708","https://openalex.org/W2044251627","https://openalex.org/W2081420711","https://openalex.org/W2088391055","https://openalex.org/W2093440960","https://openalex.org/W2098330912","https://openalex.org/W2107541057","https://openalex.org/W2132450666","https://openalex.org/W2134602648","https://openalex.org/W2142280324","https://openalex.org/W2154037495","https://openalex.org/W2230936439","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2775675437","https://openalex.org/W2810418809","https://openalex.org/W2963420686","https://openalex.org/W2980422249","https://openalex.org/W3014602365","https://openalex.org/W3083218890","https://openalex.org/W3134119957","https://openalex.org/W3182491428","https://openalex.org/W3216761057","https://openalex.org/W4242687562"],"related_works":["https://openalex.org/W4412985277","https://openalex.org/W4417436542","https://openalex.org/W4407214485","https://openalex.org/W4327501327","https://openalex.org/W4400316393","https://openalex.org/W4291378172","https://openalex.org/W4392132225","https://openalex.org/W3112314834","https://openalex.org/W3140416091","https://openalex.org/W7163323308"],"abstract_inverted_index":{"Deep":[0],"learning":[1,187],"using":[2],"an":[3,54],"end-to-end":[4],"convolutional":[5],"neural":[6],"network":[7,66],"(ConvNet)":[8],"has":[9],"been":[10],"applied":[11,86],"to":[12,19,77,87,164],"several":[13],"electroencephalography":[14],"(EEG)-based":[15],"brain-computer":[16],"interface":[17],"tasks":[18],"extract":[20],"feature":[21],"maps":[22],"and":[23,63,82,99,111,120,128,141,180],"classify":[24],"the":[25,29,45,60,75,97,109,147,185],"target":[26],"output.":[27],"However,":[28],"EEG":[30,160],"analysis":[31],"remains":[32],"challenging":[33],"since":[34],"it":[35],"requires":[36],"consideration":[37],"of":[38,48,114,159,176],"various":[39,79],"architectural":[40],"design":[41],"components":[42],"that":[43],"influence":[44],"representational":[46],"ability":[47,182],"extracted":[49],"features.":[50],"This":[51,167],"study":[52],"proposes":[53],"EEG-based":[55,124,177],"emotion":[56,125],"classification":[57,112],"model":[58,76,175],"called":[59],"multi-kernel":[61],"temporal":[62,98,152],"spatial":[64,90,100],"convolution":[65,178],"(MultiT-S":[67],"ConvNet).":[68],"The":[69],"multi-scale":[70,149],"kernel":[71],"is":[72],"used":[73],"in":[74,151,173],"learn":[78],"time":[80],"resolutions,":[81],"separable":[83],"convolutions":[84],"are":[85],"find":[88],"related":[89],"patterns.":[91],"In":[92],"addition,":[93],"we":[94,117],"enhanced":[95],"both":[96],"filters":[101],"with":[102,131,137],"a":[103,142,156],"lightweight":[104],"gating":[105],"mechanism.":[106],"To":[107],"validate":[108],"performance":[110],"accuracy":[113,139],"MultiT-S":[115,134],"ConvNet,":[116],"conduct":[118],"subject-dependent":[119],"subject-independent":[121],"experiments":[122],"on":[123],"datasets:":[126],"DEAP":[127],"SEED.":[129],"Compared":[130],"existing":[132],"methods,":[133],"ConvNet":[135],"outperforms":[136],"higher":[138],"results":[140],"few":[143],"trainable":[144],"parameters.":[145],"Moreover,":[146],"proposed":[148],"module":[150,168],"filtering":[153],"enables":[154],"extracting":[155],"wide":[157],"range":[158],"representations,":[161],"covering":[162],"short-":[163],"long-wavelength":[165],"components.":[166],"could":[169],"be":[170],"further":[171],"implemented":[172],"any":[174],"networks,":[179],"its":[181],"potentially":[183],"improves":[184],"model's":[186],"capacity.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-11-01T00:00:00"}
